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Extending influenza vaccination to individuals aged 50–64: A budget impact analysis

Published online by Cambridge University Press:  29 June 2010

Americo Cicchetti ,
Matteo Ruggeri ,
Lara Gitto  and
Francesco Saverio Mennini
Americo Cicchetti
Affiliation:
Università Cattolica del Sacro Cuore
Matteo Ruggeri
Affiliation:
Università Cattolica del Sacro Cuore
Lara Gitto
Affiliation:
Università di Roma Tor Vergata
Francesco Saverio Mennini
Affiliation:
Università di Roma Tor Vergata
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Abstract

Objectives: Influenza (vernacular name, flu) is a viral infection that causes a high consumption of resources. Several studies have been carried out to provide an economic evaluation of the vaccination programs against influenza. Nevertheless, there is still a lack of evidence about the dynamic effects resulting from the reduction of the transmission power. This study considers the impact on contagiousness of alternative strategies against influenza in people aged 50–64 in Italy, France, Germany, and Spain.

Methods: By using the Influsim 2.0 dynamic model, we have determined the social benefits of different coverage levels in every country compared with the ones currently recommended. We have subsequently performed a Budget Impact Analysis to determine whether the currently recommended coverage results from an optimal budget allocation. A probabilistic sensitivity analysis was also conducted.

Results: We found that in Germany, the optimal coverage level is 38.5 percent, in France 32.4 percent, in Italy 32.75 percent, and 28.3 percent in Spain. By extending the coverage level, social saving tends to increase up to 100 percent for France and Italy and up to 80 percent for Germany and Spain.

Conclusions: Decision makers should allocate the budget for vaccination against influenza consistently with the estimation of the optimal coverage level and with the dynamic effects resulting from the reduction of the transmission power.

Keywords

Influenza vaccineBasic reproduction numberEconomic model
Type
ASSESSMENTS
Information
International Journal of Technology Assessment in Health Care , Volume 26 , Issue 3 , July 2010 , pp. 288 - 293
Copyright
Copyright © Cambridge University Press 2010

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